class_docstr: Custom pyfunc class used to create customized mlflow models
code: def load_context(self, context):
      self.model = mlflow.sklearn.load_model(
          context.artifacts["custom_model"]
      )
  
file_path: mlflow/examples/pyfunc/train.py
imports: import os
  from typing import Any, Dict, Optional
  from custom_code import iris_classes
  from sklearn.datasets import load_iris
  from sklearn.linear_model import LogisticRegression
  import mlflow
  from mlflow.models import infer_signature
label_desc: Use image node_id 1 for calling the CustomPredict obj's underlying member method code with example usage: obj.load_context(context) without return types